Kaikui Liu

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 37 citations into it
• Computer Vision and Pattern Recognition — 22 citations into it
• Natural Language Processing — 21 citations into it
• Representation & Self-Supervised Learning — 16 citations into it

Whom Kaikui Liu trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Geoffrey E. Hinton
2. Kaiming He
3. Yoshua Bengio
4. Alex Krizhevsky
5. Yann LeCun
6. Diederik P. Kingma
7. Ilya Sutskever
8. Alec Radford
9. Richard Socher
10. Oriol Vinyals

Papers from Kaikui Liu's perspective

Ordered by how strongly the researchers Kaikui Liu trusts endorse each paper. Same corpus, a different order for every researcher.

1. Attention is All you Need (Neural Information Processing Systems)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. Distilling the Knowledge in a Neural Network (arXiv.org)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• LRC-BERT: Latent-representation Contrastive Knowledge Distillation for Natural Language Understanding (2020) — 69 citations